搜索资源列表
pca
- PCA数据降维，利用MATLAB进行开发学习-PCA of data dimensionality reduction, using MATLAB to develop learning
ASD
- 自适应子空间分解（ASD）算法的程序。用于高光谱图像降维-ASD on hyperspectral
kpca
- KPCA降维算法的实现函数，matlab的函数-KPCA dimensionality reduction algorithm to achieve the function, matlab function
Fisher
- Fisher线性判别准则将特征空间进行降维，降维的一个基本思路是将d维特征空间投影到一条直线上，形成一维空间-Fisher
lle
- 局部线性嵌入算法的matlab代码,改算法是流形学习中的一个算法，目的是将高维流形空间映射到低维嵌入空间。可用于非线性高维数据的降维-matlab code of Local linear embedding algorithm
lle
- 基于邻域嵌入式的降维 充分利用matlab矩阵的功能 程序简捷-Neighborhood-based embedded full advantage of dimension reduction procedures for simple matlab function matrix
papericao
- 基本的ICA算法代码,进行有效的特征提取，是一种降维方法。-the matlab code of ICA
swissroll
- 基于LLE（局部线性嵌入）算法的瑞士卷降维程序，程序自动生成瑞士卷，然后降维输出图像。-Based on LLE (locally linear embedding) dimensionality reduction algorithm Swiss roll program, the program automatically generates Swiss roll, then drop-dimensional output image.
pca
- 主成分分析程序,应用于图像特征提取，数据降维等方面 -the code of PCA
PCA
- 主分量分析,用于高维数据降维或提取目标特征。程序精简，效率高. -Principal Component Analysis is used to make data dimensionality reduction or extract target characteristics。
LLE
- 关于高维数据降维的非线性方法ＬＬＥ代码，对学习数据降维有帮助-High dimensional data on the nonlinear dimensionality reduction methods LLE code, data dimensionality reduction in learning help
swissroll
- 此文件包含生成swissroll数据集,并用LLE算法进行降维处理,很实用,应该对现在学习流形学习的同学有帮助。-This file contains data sets generated swissroll and dimensionality reduction algorithm with the LLE process, it is useful, it should now learning manifold learning for students help.
PCA
- 应用PCA进行特征提取和降维，可以应用于数据挖掘，机器学习，人脸识别上！-Application of PCA for feature extraction and dimensionality reduction can be applied to data mining, machine learning, face recognition on!
wavelet
- 一维小波的分解和重构，可以运行，三层降维和重构，小波降噪。很实用-matlab wavelet
sharePfisher
- 确定投影方向使得降维以后，样本不但线性可分，而且可分性更好-Determine the projection direction makes dimensionality reduction, sample not only linearly separable, and a better separability
empca2.tar
- 模式分类中应用到的PCA算法，包括其奇异值分解SVD算法。可用来降维提取主元素等。-pattern classification applied to the PCA algorithm, including its SVD singular value decomposition algorithm. Can be used to take down the main Viti Levu and other elements.
linearsystemstatefedbacandstateobserver
- 详细介绍了，线性定常系统的状态反馈的设计，全维状态观测器，降为状态观测器的设置。-Described in detail, linear time-invariant systems state feedback design, full-dimensional state observer, reduced state observer settings.
llc
- 非线性降维方法llc 可以应用于高维数据的机器学习-Llc nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
lle
- 非线性降维方法lle 可以应用于高维数据的机器学习-Lle nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning